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201 lines
9.1 KiB
Markdown
201 lines
9.1 KiB
Markdown
# Example (JKQTPlotter): Mandelbrot Set Explorer {#JKQTPlotterMandelbrot}
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## Introduction and Usage
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This project (see `./examples/mandelbrot/`) shows how to calculate and visualize the [Mandelbrot set](https://en.wikipedia.org/wiki/Mandelbrot_set) using `JKQTPlotter` and its `JKQTPMathImage`.
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The source code of the main application is (see [`mandelbrot.cpp`](https://github.com/jkriege2/JKQtPlotter/tree/master/examples/mandelbrot/mandelbrotmainwindow.cpp):
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![mandelbrot](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/mandelbrot.png)
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You can use any of the several zooming methods (by mouse-wheel, panning, by drawing a rectangle ...) and the application will automaticaly calculate the zoomed area. Here is an example:
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1. Select the Zoom by Mouse Rectangle tool: ![mandelbrot_zoom_pre](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/mandelbrot_zoom_pre.png)
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2. Drag open a rectangle that you want to zoom into: ![mandelbrot_zoom](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/mandelbrot_zoom.png)
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3. When you release the mouse, the new image will be calculated.
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## How it works
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In the constructor, the ui, containing a JKQTPlotter `ui->plot`, is initialized. Then the JKQTPlotter is set up:
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```.cpp
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// 1. set the graph scales manually
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ui->plot->setXY(-2,1,-1,1);
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ui->plot->setAbsoluteXY(-5,5,-5,5);
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// 2. set the asxpect ratio to width/height
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ui->plot->getPlotter()->setMaintainAspectRatio(true);
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ui->plot->getPlotter()->setAspectRatio(static_cast<double>(ui->plot->width())/static_cast<double>(ui->plot->height()));
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// 3. disable grids
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ui->plot->getXAxis()->setDrawGrid(false);
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ui->plot->getYAxis()->setDrawGrid(false);
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```
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Then a `JKQTPMathImage` is added which displays an image column `mandelbrot_col_display`:
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```.cpp
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graph=new JKQTPColumnMathImage(ui->plot);
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graph->setTitle("");
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// image column with the data
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graph->setImageColumn(mandelbrot_col_display);
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// image color range is calculated manually!
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graph->setAutoImageRange(false);
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graph->setImageMin(0);
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graph->setImageMax(ui->spinMaxIterations->value());
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// set image size
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graph->setX(ui->plot->getXMin());
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graph->setY(ui->plot->getYMin());
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graph->setWidth(ui->plot->getXMax()-ui->plot->getXMin());
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graph->setHeight(ui->plot->getYMax()-ui->plot->getYMin());
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// add graph to plot
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ui->plot->addGraph(graph);
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```
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In between thise two code blocks, two image columns are added to the internal `JKQTPDatastore`:
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```.cpp
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mandelbrot_col=ds->addImageColumn(300,200, "mandelbrot_image_calculate");
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mandelbrot_col_display=ds->copyColumn(mandelbrot_col, "mandelbrot_image_display");
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```
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As mentioned before, `mandelbrot_col_display` is used for plotting and the baclground column (of the same size) `mandelbrot_col` is used to calculate a new image:
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```.cpp
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calculateMandelSet(ui->plot->getXMin(), ui->plot->getXMax(), ui->plot->getYMin(), ui->plot->getYMax(), 300, 200, ui->spinMaxIterations->value());
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```
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When calculation finished, the contents of `mandelbrot_col` is copied to `mandelbrot_col_display`:
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```.cpp
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ui->plot->getDatastore()->copyColumnData(mandelbrot_col_display, mandelbrot_col);
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```
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In order to implement the zoom functionality, the signal `JKQTPlotter::zoomChangedLocally` is connected to a function, which recalculates the new image for the new zoom-range:
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```.cpp
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void MandelbrotMainWindow::plotZoomChangedLocally(double newxmin, double newxmax, double newymin, double newymax, JKQTPlotter */*sender*/)
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{
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calculateMandelSet(newxmin, newxmax, newymin, newymax, ui->plot->getXAxis()->getParentPlotWidth(), ui->plot->getYAxis()->getParentPlotWidth(), ui->spinMaxIterations->value());
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ui->plot->getDatastore()->copyColumnData(mandelbrot_col_display, mandelbrot_col);
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if (ui->chkLogScaling->isChecked()) {
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std::transform(ui->plot->getDatastore()->begin(mandelbrot_col), ui->plot->getDatastore()->end(mandelbrot_col), ui->plot->getDatastore()->begin(mandelbrot_col), &log10);
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}
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graph->setX(newxmin);
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graph->setY(newymin);
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graph->setWidth(newxmax-newxmin);
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graph->setHeight(newymax-newymin);
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// this call ensures correctly set NX and NY
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graph->setImageColumn(mandelbrot_col_display);
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ui->plot->redrawPlot();
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}
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```
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The actual calculation is performed in `calculateMandelSet()`:
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```.cpp
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void MandelbrotMainWindow::calculateMandelSet(double rmin, double rmax, double imin, double imax, size_t width, size_t height, unsigned int max_iterations) {
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QElapsedTimer timer;
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timer.start();
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auto ds=ui->plot->getDatastore();
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// ensure the image column has the correct size
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ds->resizeImageColumn(mandelbrot_col, width, height);
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qDebug()<<"calculating for "<<width<<"x"<<height<<"pixels: real="<<rmin<<"..."<<rmax<<", imaginary="<<imin<<"..."<<imax;
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//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
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// iterate over all pixels, serial code
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for (auto pix=ds->begin(mandelbrot_col); pix!= ds->end(mandelbrot_col); ++pix) {
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// calculate the pixels coordinate in the imaginary plane
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const double r0=static_cast<double>(pix.getImagePositionX())/static_cast<double>(width)*(rmax-rmin)+rmin;
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const double i0=static_cast<double>(pix.getImagePositionY())/static_cast<double>(height)*(imax-imin)+imin;
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//qDebug()<<pix.getImagePositionX()<<","<<pix.getImagePositionY()<<": "<<r0<<","<<i0;
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unsigned int iteration=0;
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double ri=0;
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double ii=0;
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// check for Mandelbrot series divergence at r0, i0, i.e. calculate
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// the series [r(i),i(i)]=fmanelbrot(r(i-1),i(i-1) | r0,i0) for every point in the plane [r0,i0]
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// starting from r(0)=i(0)=0. The number of iterations until |r(i),i(i)|>=2 gives the color of
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// the point.
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while(ri*ri+ii*ii<=2.0*2.0 && iteration<max_iterations) {
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const double tmp=ri*ri-ii*ii+r0;
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ii=2.0*ri*ii+i0;
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ri=tmp;
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iteration++;
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}
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*pix=iteration;
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}
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qDebug()<<"finished calculating after "<<static_cast<double>(timer.nsecsElapsed())/1000000.0<<"ms";
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}
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```
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Here the actual algorithm to calculate the mandelbrot set is implemented. It iterates over all pixels `pix` in `mandelbrot_col` and updates their value according to the result of the calculation with `*pix=iteration;`.
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In order to speed up the program, it actually uses a parallelized version of the algorithm:
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```.cpp
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void MandelbrotMainWindow::calculateMandelSet(double rmin, double rmax, double imin, double imax, size_t width, size_t height, unsigned int max_iterations) {
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QElapsedTimer timer;
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timer.start();
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auto ds=ui->plot->getDatastore();
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// ensure the image column has the correct size
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ds->resizeImageColumn(mandelbrot_col, width, height);
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qDebug()<<"calculating for "<<width<<"x"<<height<<"pixels: real="<<rmin<<"..."<<rmax<<", imaginary="<<imin<<"..."<<imax;
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//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
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// iterate over all pixels, parallelized version
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// calculate the block size for parallel processing
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const size_t blocksize=std::max<size_t>(100,width*height/std::max<size_t>(2, std::thread::hardware_concurrency()-1));
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std::vector<std::thread> threads;
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for (size_t offset=0; offset<width*height; offset+=blocksize) {
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threads.push_back(std::thread([=](){
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// start iterating at begin+offset
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auto pix=ds->begin(mandelbrot_col)+static_cast<int>(offset);
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// stop iterating at begin+offset+blocksize, or at the end
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const auto pix_end=pix+static_cast<int>(blocksize);
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for (; pix!=pix_end; ++pix) {
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// calculate the pixels coordinate in the imaginary plane
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const double r0=static_cast<double>(pix.getImagePositionX())/static_cast<double>(width)*(rmax-rmin)+rmin;
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const double i0=static_cast<double>(pix.getImagePositionY())/static_cast<double>(height)*(imax-imin)+imin;
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//qDebug()<<pix.getImagePositionX()<<","<<pix.getImagePositionY()<<": "<<r0<<","<<i0;
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unsigned int iteration=0;
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double ri=0;
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double ii=0;
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// check for Mandelbrot series divergence at r0, i0, i.e. calculate
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// the series [r(i),i(i)]=fmanelbrot(r(i-1),i(i-1) | r0,i0) for every point in the plane [r0,i0]
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// starting from r(0)=i(0)=0. The number of iterations until |r(i),i(i)|>=2 gives the color of
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// the point.
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while(ri*ri+ii*ii<=2.0*2.0 && iteration<max_iterations) {
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const double tmp=ri*ri-ii*ii+r0;
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ii=2.0*ri*ii+i0;
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ri=tmp;
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iteration++;
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}
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*pix=iteration;
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}
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}));
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}
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qDebug()<<" using "<<threads.size()<<" threads with blocksize="<<blocksize;
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// wait for threads to finish
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for (auto& thread:threads) thread.join();
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threads.clear();
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qDebug()<<"finished calculating after "<<static_cast<double>(timer.nsecsElapsed())/1000000.0<<"ms";
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}
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```
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